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This is a repository for the LinkedIn Learning course Azure for Developers Retrieval Augmented Generation (RAG) with Azure AI
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
Agent Framework / shim to use Pydantic with LLMs
Awesome-LLM: a curated list of Large Language Model
Agent2Agent (A2A) – awesome A2A agents, tools, servers & clients, all in one place.
Build effective agents using Model Context Protocol and simple workflow patterns
An open-source framework for collaborative AI agents, enabling diverse, distributed agents to team up and tackle complex tasks through internet-like connectivity.
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
AG2 (formerly AutoGen): The Open-Source AgentOS. Join us at: https://discord.gg/pAbnFJrkgZ
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
Model Context Protocol Servers
An open protocol enabling communication and interoperability between opaque agentic applications.
⚖️ The First Coding Agent-as-a-Judge
Simple, unified interface to multiple Generative AI providers
Graph visualisation for UK Research and Innovation (UKRI) funding, a demo is hosted on Streamlit Community Cloud. Including NetworkX, PyVis and LlamaIndex graph retrieval-augmented generation (RAG).
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A curated list of Generative AI tools, works, models, and references
Implementation of all RL algorithms in a simpler way
📖 A curated list of resources dedicated to Natural Language Processing (NLP)
A curated list of awesome computer vision resources
Machine learning resources for software engineers. Check out the companion newsletter. 👇
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Implementation of my RAG system that won all categories in Enterprise RAG Challenge 2
DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
This repo is for the Linkedin Learning course: Docker: Your First Project
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"